Predictive system for internal biometrics, classification, and contactless deflection of live aquatic biomass

Abstract

Automated system and method for the early predictive assessment and separation of live aquatic biomass (ova, larvae, fry, smolts). It overcomes the damage caused by solid-contact mechanical sorters and the inability of surface optical systems to detect internal anomalies. The system comprises: (i) a fluidic trajectory singulation mechanism; (ii) non-destructive penetrating interrogation means (OCT or 1-100 MHz ultrasound) that acquire three-dimensional data of internal structures (swim bladder, myocardium, yolk sac, notochord); (iii) an electronic control logic unit that predicts individual feed conversion potential by cross-referencing such data with ontogenetic models; and (iv) remote field spatial deflection means.These media are segmented according to mass: they apply directed fluidic pressure gradients for biomass from 1 g to 200 g, and focused acoustic radiation pressure or electromagnetic radiation for biomass less than 1 g, diverting specimens towards classification channels without mechanical contact. It operates in continuous in-line flow without sedation, using internal anatomical parameters such as swim bladder volume to predict productive performance.